Maxine Tan

发表

Automated feature selection in neuroevolution

Rudi Deklerck, Michael Hartley, Michel Bister, 2009, Evol. Intell..

A new semi-supervised self-training method for lung cancer prediction pdf

Kwan Hoong Ng, Maxine Tan, Kelvin Shak, 2020, ArXiv.

Evaluation of correlation between CT image features and ERCC1 protein expression in assessing lung cancer prognosis

Bin Zheng, Wei Qian, Fleming Lure, 2014, Medical Imaging.

A new application of electrical impedance spectroscopy for measuring glucose metabolism: a phantom study

Bin Zheng, Yuchen Qiu, Hong Liu, 2015, Medical Imaging.

Gated-Dilated Networks for Lung Nodule Classification in CT Scans

Hwee Kuan Lee, Maxine Tan, Mundher Al-Shabi, 2019, IEEE Access.

ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification pdf

Maxine Tan, Kelvin Shak, Mundher Al-Shabi, 2020, ArXiv.

Association of mammographic image feature change and an increasing risk trend of developing breast cancer: an assessment

Hong Liu, Bin Zheng, Maxine Tan, 2015, Medical Imaging.

Fusion of Quantitative Image and Genomic Biomarkers to Improve Prognosis Assessment of Early Stage Lung Cancer Patients

Wei Qian, Hong Liu, Bin Zheng, 2016, IEEE Transactions on Biomedical Engineering.

Evaluation of chemotherapy response in ovarian cancer treatment using quantitative CT image biomarkers: a preliminary study

Hong Liu, Bin Zheng, Theresa C. Thai, 2015, Medical Imaging.

A new Fourier transform based CBIR scheme for mammographic mass classification: a preliminary invariance assessment

Bin Zheng, Yuchen Qiu, Rohith Reddy Gundreddy, 2015, Medical Imaging.

Association Between Changes in Mammographic Image Features and Risk for Near-Term Breast Cancer Development

David Gur, Bin Zheng, Joseph K. Leader, 2016, IEEE Transactions on Medical Imaging.

A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration

Zheng Li, Bin Zheng, Theresa C. Thai, 2016, IEEE Transactions on Medical Imaging.

A new and fast image feature selection method for developing an optimal mammographic mass detection scheme.

Bin Zheng, Jiantao Pu, Maxine Tan, 2014, Medical physics.

Lung nodule classification using deep Local–Global networks

Maxine Tan, Boon Leong Lan, Wai Yee Chan, 2019, International Journal of Computer Assisted Radiology and Surgery.

Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesions

Bin Zheng, Yunzhi Wang, Maxine Tan, 2017, Physics in medicine and biology.

Analysis of a feature-deselective neuroevolution classifier (FD-NEAT) in a computer-aided lung nodule detection system for CT images

Jan Cornelis, Bart Jansen, Rudi Deklerck, 2012, GECCO '12.

An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology

Samuel Cheng, Shiju Yan, Hong Liu, 2016, SPIE Medical Imaging.

Optimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model

Bin Zheng, Jiantao Pu, Maxine Tan, 2014, International Journal of Computer Assisted Radiology and Surgery.

A novel computer-aided lung nodule detection system for CT images.

Jan Cornelis, Bart Jansen, Rudi Deklerck, 2011, Medical physics.

A new CAD approach for improving efficacy of cancer screening

Lihua Li, Wei Qian, Yan Kang, 2015, Medical Imaging.

Applying deep learning technology to automatically identify metaphase chromosomes using scanning microscopic images: an initial investigation

Hong Liu, Bin Zheng, Shiju Yan, 2016, BiOS.

Development of a new case based computer-aided detection scheme for screening mammography

Bin Zheng, Maxine Tan, B. Zheng, 2016, 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES).

Developing a visual sensitive image features based CAD scheme to assist classification of mammographic masses

Hong Liu, Bin Zheng, Yunzhi Wang, 2017, Medical Imaging.

A new approach to develop computer-aided detection schemes of digital mammograms

Hong Liu, Bin Zheng, Wei Qian, 2015, Physics in medicine and biology.

Increasing cancer detection yield of breast MRI using a new CAD scheme of mammograms

Hong Liu, Bin Zheng, Maxine Tan, 2016, SPIE Medical Imaging.

Computer-aided classification of mammographic masses using the deep learning technology: a preliminary study

Samuel Cheng, Shiju Yan, Hong Liu, 2016, SPIE Medical Imaging.

Phased searching with NEAT in a Time-Scaled Framework: Experiments on a computer-aided detection system for lung nodules

Jan Cornelis, Bart Jansen, Rudi Deklerck, 2013, Artif. Intell. Medicine.

Assessment of performance and reproducibility of applying a content-based image retrieval scheme for classification of breast lesions.

Hong Liu, Bin Zheng, Yuchen Qiu, 2015, Medical physics.

Histogram analysis of CT scans for patients with post-mastectomy lymphedema

Jan Cornelis, Rudi Deklerck, Nico Buls, 2011, 2011 18th IEEE International Conference on Image Processing.

A new paradigm of dielectric relaxation spectroscopy for non-invasive detection of breast abnormalities: a preliminary feasibility analysis

Bin Zheng, Wei Qian, Sreeram Dhurjaty, 2016, SPIE Medical Imaging.

Increasing the Efficacy of Detecting Residual Cancer Cells Using a Whole-Slide Image Scanning Method and a Computer-Aided Detection Scheme

Bin Zheng, Yuchen Qiu, Hong Liu, 2016 .

A new mass classification system derived from multiple features and a trained MLP model

Bin Zheng, Jiantao Pu, Maxine Tan, 2014, Medical Imaging.

A B-spline image registration based CAD scheme to evaluate drug treatment response of ovarian cancer patients

Zheng Li, Hong Liu, Bin Zheng, 2016, SPIE Medical Imaging.

Accelerometer based Gait Analysis - Multi Variate Assessment of Fall Risk with FD-NEAT

Bart Jansen, Rudi Deklerck, Maxine Tan, 2011, BIOSIGNALS.

Improving the performance of lesion-based computer-aided detection schemes of breast masses using a case-based adaptive cueing method

Wei Qian, Bin Zheng, Yunzhi Wang, 2016, SPIE Medical Imaging.

Cribriform pattern detection in prostate histopathological images using deep learning models pdf

Wang Jie, Hwee Kuan Lee, Zeng Zeng, 2019, ArXiv.

An automated approach to improve efficacy in detecting residual malignant cancer cell for facilitating prognostic assessment of leukemia: an initial study

Hong Liu, Shibo Li, Bin Zheng, 2015, Medical Imaging.

Cancer Informatics

Bin Zheng, Jiantao Pu, Maxine Tan, 2022 .

Automated detection of breast tumor in MRI and comparison of kinetic features for assessing tumor response to chemotherapy

Bin Zheng, Maxine Tan, Faranak Aghaei, 2015, Medical Imaging.

A new resonance-frequency based electrical impedance spectroscopy and its application in biomedical engineering

Bin Zheng, Sreeram Dhurjaty, Maxine Tan, 2014, Medical Imaging.

Computer-aided global breast MR image feature analysis for prediction of tumor response to chemotherapy: performance assessment

Samuel Cheng, Bin Zheng, Maxine Tan, 2016, SPIE Medical Imaging.

3D Axial-Attention for Lung Nodule Classification pdf

Maxine Tan, Kelvin Shak, Mundher Al-Shabi, 2020, ArXiv.

3D axial-attention for lung nodule classification

Maxine Tan, Kelvin Shak, Mundher Al-Shabi, 2020, International Journal of Computer Assisted Radiology and Surgery.

Comparison of two-dimensional synthesized mammograms versus original digital mammograms: a quantitative assessment

Kwan-Hoong Ng, Kartini Rahmat, Maxine Tan, 2021, Medical & Biological Engineering & Computing.

ProCAN: Progressive Growing Channel Attentive Non-Local Network for Lung Nodule Classification

Maxine Tan, Kelvin Shak, Mundher Al-Shabi, 2020, Pattern Recognit..

Applying a new quantitative global breast MRI feature analysis scheme to assess tumor response to chemotherapy

Bin Zheng, Maxine Tan, Faranak Aghaei, 2016, Journal of magnetic resonance imaging : JMRI.

Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry.

David Gur, Bin Zheng, Maxine Tan, 2013, Academic radiology.

Association between Computed Tissue Density Asymmetry in Bilateral Mammograms and Near‐term Breast Cancer Risk

David Gur, Bin Zheng, Maxine Tan, 2014, The breast journal.

Early prediction of clinical benefit of treating ovarian cancer using quantitative CT image feature analysis

Bin Zheng, Yuchen Qiu, Maxine Tan, 2016, Acta radiologica.

Computer-aided breast MR image feature analysis for prediction of tumor response to chemotherapy.

Wei Qian, Bin Zheng, Maxine Tan, 2015, Medical physics.